# 學生對 杜克大学 提供的 Data Science Math Skills 的評價和反饋

4.5
7,741 個評分
1,748 條評論

## 課程概述

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material. Topics include: ~Set theory, including Venn diagrams ~Properties of the real number line ~Interval notation and algebra with inequalities ~Uses for summation and Sigma notation ~Math on the Cartesian (x,y) plane, slope and distance formulas ~Graphing and describing functions and their inverses on the x-y plane, ~The concept of instantaneous rate of change and tangent lines to a curve ~Exponents, logarithms, and the natural log function. ~Probability theory, including Bayes’ theorem. While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, "Mastering Data Analysis in Excel," which is part of the Excel to MySQL Data Science Specialization. Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in "Mastering Data Analysis in Excel." Good luck and we hope you enjoy the course!...

## 熱門審閱

AS

Jan 12, 2019

Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)

VC

May 17, 2020

Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)

## 426 - Data Science Math Skills 的 450 個評論（共 1,735 個）

Jun 13, 2020

This is my first experience on Coursera, Very happy with the result!

Jun 02, 2020

The course is good and covers most of the required basics very well.

May 11, 2020

Really good course, basics are clear now, enjoyed doing this course.

Jan 20, 2020

This course helped boost my confidence in the field of data science!

Feb 25, 2018

Nice course which could help one revise all studied at junior level.

Jul 15, 2020

This is a beautiful course that goes a long way in decision making.

Jul 12, 2020

This is an excellent course. It inhanced my skills in Data Science.

Aug 03, 2020

Good course to clear basic concepts of mathematics and probability

Jul 20, 2020

It's Very good course and i completed very nicely thanku Coursera

Jun 30, 2020

The method of teaching was very good. I like videos,quizzes ...etc

May 17, 2020

A very interesting data science course provided by duke university

Apr 30, 2020

I just completed it in 1 day, had fun completing it successfully !

Dec 19, 2019

The course is very basic and easy to understand with many example.

Nov 09, 2019

Step by step course! Perfect for beginners. I highly recommend it.

Aug 14, 2020

Excellent course , and it is refreshing ! i highly recommend it.

Jul 25, 2020

Fantastic course for build math skill to enter data science world

May 28, 2020

The course content is very efficient and flexible, ease to learn.

May 25, 2020

it was useful , as some of the probability concept was new for me

May 11, 2020

Helps me to review mathematics knowledge quickly and efficiently!

Nov 23, 2019

Good refresher course with all basic concepts explained very well

Jan 23, 2019

Some quiz answer UI mistakes. Doesn't display the correct answer.

Apr 15, 2018

great course to refresh your math skills in data science projects

Jan 26, 2018

right course to brush up on mathematical skills for Data science.

Jul 26, 2017

Impressive way to explain basic concept. Really a good refresher.

Aug 04, 2020

The Course was well structured and easy to understand. Thank you